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All Journal Communications in Science and Technology Jurnal Analis Kesehatan Jurnal Riset Kesehatan Poltekkes Depkes Bandung JMLS: Journal of Medical Laboratory and Science Current Biomedicine Mukhtabar: Journal of Medical Laboratory Technology Jurnal Kesehatan Siliwangi Jurnal Pengabdian Masyarakat Kesehatan Indonesia Poltekita: Jurnal Pengabdian Masyarakat
Nurhayati, Betty
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Biochemistry, Genetics & Molecular Biology Chemistry Dentistry Education Engineering Environmental Science Health Professions Immunology & microbiology Medicine & Pharmacology Nursing Public Health Veterinary

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Journal : Mukhtabar: Journal of Medical Laboratory Technology

 1 
Assessment of Analytical Specificity in qPCR: SYBR Green and TaqMan Probe Methods for Isonazid-Resistant Mycobacterium tuberculosis Merdekawati, Fusvita; Suryawan, Muhammad Raihan; Nurhayati, Betty; Rinaldi, Sonny Faisal; Juliastuti, Aditya
Mukhtabar Journal of Medical Laboratory Technology Vol 3 No 1 (2025): Mukhtabar: Journal of Medical Laboratory Technology (April 2024)
Publisher : LPPM STIKes Muhammadiyah Ciamis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52221/mjmlt.v3i1.793

Abstract

Background & Objective: Mycobacterium tuberculosis, often referred to as M. tuberculosis, is an infectious pathogen that is responsible for causing tuberculosis (TB), a prevalent condition that is a leading cause of death globally. The spread of tuberculosis bacteria that are resistant to certain medicines, such as isoniazid, is currently on the rise. Therefore, molecular testing, such as quantitative polymerase chain reaction (qPCR), is needed to rapidly and reliably identify isoniazid-resistant tuberculosis germs. Method: The purpose of this study was to assess the analytical specificity of TaqMan Probe and SYBR Green qPCR techniques for the detection of isoniazid-resistant tuberculosis. This study was descriptive and quantitative. Analytical specificity was ascertained using MTB DNA with the S315G mutation spiked with E. coli DNA. A paired t-test was used to assess the primary data. Result: The results show that the analytical specificity values based on the significance of the paired t-test for the SYBR Green and TaqMan Probe methods were 0.398 and 0.790, respectively. Conclusion: Based on these results, it can be concluded that the analytical specificity of the TaqMan Probe qPCR method was 1.99 times greater than that of the SYBR Green method.
Evaluation of Quality Indicators with Lean Six Sigma In Pre and Post Analytical Laboratories Nurhadi, Muhammad Ihsan; Ridwanna, Surya; Rinaldi, Sonny Feisal; Nurhayati, Betty
Mukhtabar Journal of Medical Laboratory Technology Vol 3 No 1 (2025): Mukhtabar: Journal of Medical Laboratory Technology (April 2024)
Publisher : LPPM STIKes Muhammadiyah Ciamis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52221/mjmlt.v3i1.795

Abstract

Background & Objective: Medical laboratories have an important role of 60-70% in diagnosis, patient monitoring, and prevention and treatment of diseases. Therefore, the laboratory must maintain and ensure the quality of service process. This study aims to determine the sigma value and identify waste in pre and post analytical in the laboratory, as well as determine Improvement proposals in order to reduce errors pre and post analytical laboratory. Method: This research design is descriptive study that Analyzes the process and quality indicators at pre and post analytical with the Lean Six Sigma approach, which is a combination of Lean methods that focus on eliminating waste and Six Sigma that focuses on eliminating defects. This research was conducted as a process Improvement effort with five Six Sigma work steps (DMAIC) and identified eight types of waste (DOWNTIME). Result: The results showed that the sigma value at pre and post analytical was 4.6 and 3.5 Sigma, and total sigma value for pre-post analytical was 4.3 Sigma so that both had not met the minimum target achievement of 5 Sigma (Excellent). There are two quality indicators that require improvement and enhancement including suitability of sample and TAT. The results also show that there are 4 wastes, consisting of 1 Defects, 1 Waiting, and 2 Not Utilizing Employees Knowledge. Conclusion: Proposed Improvements are then given so that all waste identified in this study can be minimized so that the achievement of sigma quality indicators can increase.
Co-Authors Abror, Yogi Khoirul Arbie, Arbie Candra Purnawan Dermawan, Asep Didit Damayanti Djuminar, Ai Durachim, Adang Edi Pramono Eka Setiawan, Regina Endarwati, Dwi Veni Hardiana, Acep Tantan Hayati, Eem Ida Widiawati, Ida Ihsan Nurhadi, Muhammad Indra, Asep Iin Nur Juliastuti, Aditya Kurnia Kusniasih, Susi Maryani, Nita Merdekawati, Fusvita Nina Marliana, Nina Noviar, Ganjar Nur Ramadhani, Riski Nurhadi, Muhammad Ihsan Ozi Adi Saputra, Ozi Adi Pujiasih, Septi Ramadhani, Riski Nur Ridwanna, Surya Rinaldi, Sonny Faisal Rinaldi, Sonny Feisal Rizki, Vanani Nur Rumahorbo, Hotma Saputra, Fitrianingsih Sasmita, Anah Simangunsong, Kristina Suhartini, Entin Suryawan, Muhammad Raihan Tania, Monica Thayyiba, Amina Wardhani, Azkya Zhahira